Triple
T14881736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Värmland County |
E350015
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Filipstad |
E456795
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Filipstad | Statement: [Värmland County, hasCity, Filipstad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Filipstad Context triple: [Värmland County, hasCity, Filipstad]
-
A.
Filipstad
Filipstad is a waterfront district in Oslo, Norway, known for its port facilities and ongoing urban redevelopment as part of the Fjord City project.
-
B.
Filipstad
chosen
Filipstad is a small town in Värmland County, Sweden, known as the birthplace and burial site of the famed engineer and inventor John Ericsson.
-
C.
Ystad
Ystad is a historic coastal town in southern Sweden known for its medieval architecture and as the setting of Henning Mankell’s Kurt Wallander crime novels.
-
D.
Jakobstad
Jakobstad is a coastal town and municipality in western Finland known for its bilingual (Finnish and Swedish) heritage and maritime history.
-
E.
Halmstad
Halmstad is a village in Moss municipality in Viken county, southeastern Norway.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e7c0e48190af2d68a71130585c |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b591f3c81909ea8a9217d96e0d2 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:56 a.m.